AI Analysis
Final verdict: SUSPICIOUS
The package has low risks in terms of network, shell, obfuscation, and credential handling. However, its low maintenance and poor metadata quality suggest potential issues that warrant further investigation.
- Low maintenance and poor metadata quality
- No immediate signs of malicious activities detected
Per-check LLM notes
- Network: No network calls detected, which is normal unless the package requires external services.
- Shell: No shell execution patterns detected, indicating no immediate signs of malicious activity.
- Obfuscation: No obfuscation patterns detected, indicating low risk.
- Credentials: No credential harvesting patterns detected, indicating low risk.
- Metadata: The package shows low maintenance and poor metadata quality, raising some suspicion but not conclusive evidence of malice.
Package Quality Overall: Low (2.0/10)
○ Low
Test Suite
1.0
No test suite detected
No test files or test-runner configuration detected
◈ Medium
Documentation
5.0
Some documentation present
Detailed PyPI description (4372 chars)
○ Low
Contributing Guide
2.0
No contributing guide or governance files found
No CONTRIBUTING, CODE_OF_CONDUCT, or governance files found
○ Low
Type Annotations
1.0
No type annotations detected
No type annotations, py.typed marker, or stub files detected
○ Low
Multiple Contributors
1.0
Unable to verify contributor count: no GitHub repository found
No GitHub repository linked — contributor count unavailable
Heuristic Checks
Outbound Network Calls
No suspicious network call patterns found
Code Obfuscation
No obfuscation patterns detected
Shell / Subprocess Execution
No shell execution patterns detected
Credential Harvesting
No credential harvesting patterns detected
Typosquatting
No typosquatting candidates detected
Registered Email Domain
No author email provided
Suspicious Page Links
All external links appear legitimate
Git Repository History
No GitHub repository linked
No GitHub repository link found
Maintainer History
score 6.0
3 maintainer concern(s) found
Author name is missing or very shortAuthor "" appears to have only 1 package on PyPI (new or inactive account)Package has no PyPI classifiers (low effort / metadata quality)
Known CVE Vulnerabilities
No known vulnerabilities found in OSV database.
AI App Starter Prompt
Use this prompt to build a project with avalanchers
Create a real-time avalanche simulation web application using the 'avalanchers' Python package. This application will allow users to visualize different scenarios of avalanches based on various parameters such as terrain slope, snow density, and wind direction. Users should be able to interact with the simulation by adjusting these parameters in real-time and observing how they affect the avalanche dynamics. Additionally, the app should include features such as saving and sharing simulation results, exporting visualizations as images or videos, and providing educational information about avalanche safety. Utilize the 'avalanchers' package to handle the complex physics calculations and rendering of the simulations. Ensure the application is user-friendly, visually appealing, and optimized for performance to provide smooth and responsive interactions.
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